Urban sustainability and public awareness: The role of the National Round Table on the Environment and the Economy in Canada
Bibliographic record
Abstract
The author, Co-Chair, Urban Sustainability Task Force of the National Round Table on the Environment and the Economy, and Special Advisor to the Mayor of the City of Ottawa, is a former senior public servant and international consultant with extensive experience in public administration, policy formulation and program management relating to economic and regional growth, infrastructure development, social development as well as urban planning and conservation. With degrees in International Affairs from Carleton College in Minnesota and Political Science and Economics from Columbia University, he also holds Certificates in Russian Studies from Columbia University and in Military and Strategic Studies from the National Defense College in Kingston, Ontario. Mr Aquilina had a long career in the federal public service which included appointments to the Civil Service Commission, the Prime Minister's Office and the Privy Council Office. He served as Assistant-Deputy Minister in the Departments of Regional Economic Expansion, Secretary of State and Finance. He also occupied the positions of Deputy Secretary of the Treasury Board, General Manager of the National Capital Commission and Chair of the Task Force on Decentralization of Government Operations. As a consultant, he provided senior advice to the governmentof Lebanon on public service reform and headed a task force in Ethiopia on public finance reform. He was also a senior member of two missions from Canada to the governments of Benin and Haiti. The text that follows is an edited version of a paper presented at the international symposion on "The Natural City, " Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environment, Institute for Environmental Studies, and the World Society for Ekistics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".